| /* |
| * Copyright (c) 2019 ARM Limited. |
| * |
| * SPDX-License-Identifier: MIT |
| * |
| * Permission is hereby granted, free of charge, to any person obtaining a copy |
| * of this software and associated documentation files (the "Software"), to |
| * deal in the Software without restriction, including without limitation the |
| * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or |
| * sell copies of the Software, and to permit persons to whom the Software is |
| * furnished to do so, subject to the following conditions: |
| * |
| * The above copyright notice and this permission notice shall be included in all |
| * copies or substantial portions of the Software. |
| * |
| * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR |
| * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, |
| * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE |
| * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER |
| * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, |
| * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE |
| * SOFTWARE. |
| */ |
| #ifndef __ARM_COMPUTE_NEDEPTHWISECONVOLUTIONLAYERNATIVEKERNEL_H__ |
| #define __ARM_COMPUTE_NEDEPTHWISECONVOLUTIONLAYERNATIVEKERNEL_H__ |
| |
| #include "arm_compute/core/NEON/INEKernel.h" |
| |
| #ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC |
| #include <arm_neon.h> |
| #endif // __ARM_FEATURE_FP16_VECTOR_ARITHMETIC |
| |
| namespace arm_compute |
| { |
| // Forward declarations |
| class ITensor; |
| |
| /** Interface for the kernel to run a depthwise convolution native on a tensor. */ |
| class NEDepthwiseConvolutionLayerNativeKernel : public INEKernel |
| { |
| public: |
| const char *name() const override |
| { |
| return "NEDepthwiseConvolutionLayerNativeKernel"; |
| } |
| /** Default constructor */ |
| NEDepthwiseConvolutionLayerNativeKernel(); |
| /** Prevent instances of this class from being copied (As this class contains pointers) */ |
| NEDepthwiseConvolutionLayerNativeKernel(const NEDepthwiseConvolutionLayerNativeKernel &) = delete; |
| /** Prevent instances of this class from being copied (As this class contains pointers) */ |
| NEDepthwiseConvolutionLayerNativeKernel &operator=(const NEDepthwiseConvolutionLayerNativeKernel &) = delete; |
| /** Default Move Constructor. */ |
| NEDepthwiseConvolutionLayerNativeKernel(NEDepthwiseConvolutionLayerNativeKernel &&) = default; |
| /** Default move assignment operator */ |
| NEDepthwiseConvolutionLayerNativeKernel &operator=(NEDepthwiseConvolutionLayerNativeKernel &&) = default; |
| /** Initialize the function's source, destination and parameters. |
| * |
| * @note Supported data layouts: NHWC |
| * |
| * @param[in] input Source tensor. DataType supported: QASYMM8/F16/F32. |
| * @param[in] weights Weights tensor. This is a 3D tensor with dimensions [IFM, W, H]. Data type supported: Same as @p input. |
| * @param[in] biases Biases tensor. A 1D tensor with dimensions [IFM]. Must be nullptr if not needed. Data type supported: Same as @p input. |
| * @param[out] output Destination tensor. Data type supported: Same as @p input. |
| * @param[in] conv_info Padding and stride information to use for the convolution. |
| * @param[in] depth_multiplier (Optional) Multiplier to apply to the input's depth in order to retrieve the output's depth. Defaults to 1. |
| * @param[in] dilation (Optional) Dilation, in elements, across x and y. Defaults to (1, 1). |
| * |
| */ |
| void configure(const ITensor *input, const ITensor *weights, const ITensor *biases, ITensor *output, const PadStrideInfo &conv_info, unsigned int depth_multiplier = 1, |
| const Size2D &dilation = Size2D(1U, 1U)); |
| /** Static function to check if given info will lead to a valid configuration of @ref NEDepthwiseConvolutionLayerNativeKernel |
| * |
| * @note Supported data layouts: NHWC |
| * |
| * @param[in] input Source tensor info. DataType supported: QASYMM8/F16/F32. |
| * @param[in] weights Weights tensor info. This is a 3D tensor with dimensions [IFM, W, H]. Data type supported: Same as @p input. |
| * @param[in] biases Biases tensor info. A 1D tensor with dimensions [IFM]. Must be nullptr if not needed. Data type supported: Same as @p input. |
| * @param[in] output Destination tensor info. Data type supported: Same as @p input. |
| * @param[in] conv_info Padding and stride information to use for the convolution. |
| * @param[in] depth_multiplier (Optional) Multiplier to apply to the input's depth in order to retrieve the output's depth. Defaults to 1. |
| * @param[in] dilation (Optional) Dilation, in elements, across x and y. Defaults to (1, 1). |
| * |
| * @return a status |
| */ |
| static Status validate(const ITensorInfo *input, const ITensorInfo *weights, const ITensorInfo *biases, const ITensorInfo *output, const PadStrideInfo &conv_info, unsigned int depth_multiplier = 1, |
| const Size2D &dilation = Size2D(1U, 1U)); |
| |
| // Inherited methods overridden: |
| void run(const Window &window, const ThreadInfo &info) override; |
| BorderSize border_size() const override; |
| |
| private: |
| template < typename T, typename TW, int S, bool has_biases, bool is_per_channel, typename std::enable_if < std::is_same<T, float>::value |
| #ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC |
| || std::is_same<T, float16_t>::value |
| #endif // __ARM_FEATURE_FP16_VECTOR_ARITHMETIC |
| , |
| int >::type = 0 > |
| void run_depthwise(const Window &window); |
| |
| template <typename T, typename TW, int S, bool has_biases, bool is_per_channel, typename std::enable_if<std::is_same<T, uint8_t>::value, int>::type = 0> |
| void run_depthwise(const Window &window); |
| |
| /** Common signature for all the specialised depthwise convolution native functions |
| * |
| * @param[in] window Region on which to execute the kernel. |
| */ |
| using DepthwiseFunctionPtr = void (NEDepthwiseConvolutionLayerNativeKernel::*)(const Window &window); |
| |
| DepthwiseFunctionPtr _func; |
| BorderSize _border_size; |
| const ITensor *_input; |
| const ITensor *_weights; |
| const ITensor *_biases; |
| ITensor *_output; |
| PadStrideInfo _conv_info; |
| unsigned int _depth_multiplier; |
| Size2D _dilation; |
| std::vector<int> _output_multiplier; |
| std::vector<int> _output_shift; |
| }; |
| } // namespace arm_compute |
| #endif /* __ARM_COMPUTE_NEDEPTHWISECONVOLUTIONLAYERNATIVEKERNEL_H__ */ |